Evergreen St.
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 962 (#383) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 928 (#392) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 975 (#512) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -31.3 (#654) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.009 (#628) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.003 (#468) | NetEff -50.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.035 (#650) | AdjNet -28.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.028 (#655) | AdjNet -29.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.159 (#643) | AdjO 58.9 | AdjD 77.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.313 (#607) | AdjO 62.7 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.125 (#642) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.149 (#638) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 873 (#410) | RD 350 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-10 | @ | Chaminade | L | 65 - 78 |
| 2023-11-21 | @ | Saint Martin's | L | 51 - 59 |
| 2023-12-19 | @ | Central Wash. | L | 55 - 83 |
2024 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ABBY MUNDY | - | 1 | 18.0 | 13.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 9.0 | 7.0 | - | - | - | 55.6 | 50.0 | 100.0 | - | 65.8 | 61.1 |
| SYDNEY VANNESS | - | 1 | 30.0 | 10.0 | 6.0 | 1.0 | 2.0 | 0.0 | 1.0 | 24.0 | -6.0 | - | - | - | 20.8 | 0.0 | 0 | - | 20.8 | 20.8 |
| JALYN SACKRIDER | - | 1 | 23.0 | 9.0 | 8.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | 11.0 | - | - | - | 50.0 | 0 | 25.0 | - | 46.1 | 50.0 |
| MIKAIL MONTEZ | - | 1 | 16.0 | 8.0 | 10.0 | 1.0 | 1.0 | 1.0 | 0.0 | 10.0 | 11.0 | - | - | - | 30.0 | 33.3 | 50.0 | - | 36.8 | 35.0 |
| TYRA BROWN | - | 1 | 13.0 | 6.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 6.0 | 38 | 4.8 | 5.9 | 100.0 | 100.0 | 33.3 | 0.54 | 90.4 | 125.0 |
| Madison Cooke | - | 1 | 14.0 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 7.0 | 0.0 | - | - | - | 28.6 | 20.0 | 0 | - | 35.7 | 35.7 |
| THUYVI TRAN | - | 1 | 27.0 | 4.0 | 2.0 | 6.0 | 1.0 | 0.0 | 3.0 | 7.0 | 3.0 | - | - | - | 14.3 | 0.0 | 50.0 | - | 22.8 | 14.3 |
| GINA BROWN | - | 1 | 5.0 | 4.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 8.0 | -41 | -3.4 | -7.4 | 100.0 | 0 | 100.0 | -0.24 | 106.4 | 100.0 |
| Jenna Glenzel | - | 2 | 9.5 | 3.5 | 0.5 | 0.5 | 2.0 | 0.0 | 1.0 | 4.5 | 1.0 | - | - | - | 33.3 | 0.0 | 50.0 | -0.68 | 35.4 | 33.3 |
| HONEY PADASDAO | - | 1 | 15.0 | 3.0 | 3.0 | 0.0 | 1.0 | 0.0 | 4.0 | 4.0 | -1.0 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
| MADISON HAGEN | - | 1 | 12.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 4.0 | -1.0 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
| ALLSION DEBERRY | - | 1 | 31.0 | 3.0 | 4.0 | 4.0 | 2.0 | 0.0 | 2.0 | 7.0 | 4.0 | - | - | - | 14.3 | 0.0 | 50.0 | - | 19.0 | 14.3 |
| JOANN FLYNN | - | 1 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
| JASMANI APKER MONTOYA | - | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| MCKENNA JACOBS | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | -0.06 | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG